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Cosmosis parameter estimator

Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/cosmosis-parameter-estimator

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysisFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill cosmosis-parameter-estimator

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 165 tokens by cl100k_base, as published. Nobody here has run it

CosmoSIS Parameter Estimator

Purpose

Provides expert guidance on CosmoSIS for cosmological parameter estimation, including modular likelihood construction and MCMC sampling.

Capabilities

  • Modular likelihood construction
  • Multiple sampler support (emcee, multinest, polychord)
  • Prior specification
  • Chain analysis and diagnostics
  • Plotting and visualization
  • Pipeline construction

Usage Guidelines

  1. Pipeline Setup: Configure modular analysis pipeline
  2. Likelihoods: Build likelihood functions from data
  3. Priors: Specify parameter priors
  4. Sampling: Run MCMC with appropriate sampler
  5. Analysis: Analyze chains and compute posteriors

Tools/Libraries

  • CosmoSIS
  • emcee
  • GetDist

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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